Platform Engineering Engineer 3

Platform Engineering Engineer 3

Location: Dearborn MI

Job type: Resources will be in office 4 days a week in Dearborn MI

Full time Direct hire

Overview:

Platform Engineering builds shared services APIs and developer tooling that help engineering teams deliver value safely and quickly.

This role leans toward software development (high-quality APIs automation and tools) with working knowledge of cloud DevOps and SRE practices.

What youll do

Design and build internal and customer-facing APIs and services that are secure reliable and well-documented.

Create developer tools and platform services that improve developer experience (DX): templates CLIs libraries service scaffolding automation.

Apply engineering best practices: test-driven development code review CI and safe deployment patterns.

Engineer for operability: structured logging metrics/tracing health endpoints and actionable alerts.

Collaborate with platform and product teams to standardize patterns (authn/authz secrets configuration resilience versioning).

Participate in incident response and reliability improvements; help teams reduce defects and operational risk.

Strong software engineering experience delivering production services/APIs (design implementation testing and operations).

Proficiency in at least one backend language (e.g. Java Go C# Python TypeScript) and modern API practices.

Experience with API design and lifecycle management (versioning backward compatibility pagination error modeling).

Strong testing discipline (unit/component/integration tests) and comfort refactoring safely.

Working knowledge of cloud-native delivery: containers CI/CD and operating services in a cloud environment.

Ability to debug across layers (application runtime platform) using logs/metrics/traces.

Python - The candidate can write production-grade Python to automate platform workflows and build internal tooling not just write scripts but ship tested documented code.

Go - The candidate can write performant concurrent Go programs for platform services CLIs API handlers K8s operators or automation tooling.

Docker - The candidate can author production-quality container images and understand the container lifecycle not just docker run hello-world.

Kubernetes - The candidate can deploy troubleshoot and operate workloads on Kubernetes and understand the platform layer (not just kubectl apply).

REST APIs - The candidate can design implement and version production APIs with proper error modeling pagination and backward compatibility and treat them as products with users.

Linux - The candidate can operate debug and troubleshoot Linux systems at a level that supports production platform work networking process management permissions and performance.

GCP - The candidate can provision operate and troubleshoot GCP services that power a cloud-native platform not just point-and-click console work.

Tekton - The candidate can design and maintain CI/CD pipelines as code using Tekton understanding tasks pipeline definitions triggers and how they fit into a GitOps workflow.

React - The candidate can build internal developer-facing UIs dashboards tooling interfaces or self-service portals using React. This is not a frontend-first role but the ability to build usable internal tools is valued.

Engineer Exp: 2 coding lang. or adv. 1 lang.

6 years in IT

4 years in development

Bachelors Degree